Tokyo's weather on May 19 presents a concrete, measurable forecast opportunity tracked across prediction markets. This collection gathers five related prediction markets that collectively forecast the high temperature expected in Tokyo on that specific date. Rather than speculating on a single outcome, these grouped markets break down the temperature range into distinct buckets—17°C or below, 18°C, 19°C, 20°C, and 21°C—allowing market participants to assess their views across multiple likely scenarios. When reading these linked markets, you'll observe that the prices across the five outcomes reflect the collective assessment of where market participants expect the high temperature to land. The markets function as a distributed forecast mechanism: prices rise for temperature ranges the market views as more probable and fall for less likely scenarios. By examining all five prices together, you can see which temperature range commands the highest confidence, where market consensus clusters, and which outcomes carry uncertainty premiums. This grouping is particularly useful because weather forecasting inherently involves range estimation rather than point prediction. A single market asking "Will the high be exactly 19°C?" would miss important nuance; instead, the set of five temperature-specific markets lets you see the full probability distribution as interpreted by market participants. If you notice that the 19°C and 20°C markets trade at premium prices while 17°C markets trade lower, you're observing a market consensus that moderate-to-warm temperatures are most likely. The relationships between these prices—how they move together or diverge—provide insight into both confidence levels and the perceived range of realistic outcomes for Tokyo's May 19 weather.